Michael GreenLogP, LogD, pKa and LogS: A Physicists guide to basic chemical propertiesIntroductionJan 11Jan 11
Michael GreeninTowards Data ScienceA quick introduction to derivatives for machine learning peopleIntroductionDec 26, 20182Dec 26, 20182
Michael GreeninTowards Data ScienceThe insignificance of significanceStatistical significance has always held a slightly magical status in the research community as well as in every other community. This…Aug 1, 2017Aug 1, 2017
Michael GreeninTowards Data ScienceBuilding and testing a simple deep learning object detection applicationDeep learning is hot currently. Really hot. The reason for this is that there’s more data available than ever in the space of perception…Jul 15, 20172Jul 15, 20172
Michael GreeninTowards Data ScienceThe truth about Bayesian priors and overfittingHave you ever thought about how strong a prior is compared to observed data? It’s not an entirely easy thing to conceptualize. In order to…Jun 27, 2017Jun 27, 2017
Michael GreeninTowards Data ScienceAbout choosing your optimization algorithm carefullyWhy is simulation important anyway? Well, first off we need it since many phenomena (I would even say all interesting phenomena) cannot be…Jun 22, 2017Jun 22, 2017
Michael GreenImplementing predictive sales modelingSales modeling has long been used by clients and media agencies around the world to create insights regarding their historical performance…Jun 22, 2017Jun 22, 2017
Michael GreeninTowards Data ScienceA gentle introduction to reinforcement learning or what to do when you don’t know what to doToday we’re going to have a look at an interesting set of learning algorithms which does not require you to know the truth while you learn…Jun 22, 20172Jun 22, 20172